# Cursor10x Memory

> Use this tool when you need to enable persistent context awareness and long-term memory for AI assistants, solving problems like project continuity and code pattern recognition. It provides vector-based semantic search and structured data storage, taking in conversations, code snippets, and files as input and outputting similarity-based retrieval results. Ideal for developers seeking to enhance their AI assistant's ability to maintain context across sessions and provide contextual assistance based on previous interactions.

Canonical page: https://skillsregistry.net/skills/cursor10x-memory  
JSON: https://api.skillsregistry.net/v1/skills/cursor10x-memory

## Description

A memory system for Cursor that provides persistent context awareness for Claude through vector-based semantic search and structured data storage. Built by aurda012 using Turso/LibSQL as the backend, it stores conversations, code snippets, files, and other contextual information with automatically generated embeddings for similarity-based retrieval. The implementation includes unified conversation management tools that handle message storage, context retrieval, and milestone tracking in single operations, plus vector indexing with ANN search capabilities for efficient semantic matching. Designed for developers who want their AI assistant to maintain long-term memory across sessions, enabling workflows like project continuity, code pattern recognition, and contextual assistance based on previous interactions and codebase knowledge.

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-04-25

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/cursor10x-memory)
- **Repository:** <https://github.com/aiurda/cursor10x-mcp>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "cursor10x-memory"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/cursor10x-memory` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/cursor10x-memory/pull`

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